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Question: A Realtor examines the factors that influence the price of a house in Arlington, Massachusetts. H…



A Realtor examines the factors that influence the price of a
house in Arlington, Massachusetts. He collects data on recent house
sales (Price) and notes each house’s square footage (Sqft) as well
as its number of bedrooms (Beds) and number of bathrooms (Baths). A
portion of the data is shown in the accompanying table. Use Table 2
and Table 4.

Price Sqft Beds Baths
840000 2768 4 3.5
822000 2500 4 2.5
713000 2400 3 3
689000 2200 3 2.5
685000 2716 3 3.5
645000 2524 3 2
625000 2732 4 2.5
620000 2436 4 3.5
587500 2100 3 1.5
585000 1947 3 1.5
583000 2224 3 2.5
569000 3262 4 2
546000 1792 3 2
540000 1488 3 1.5
537000 2907 3 2.5
516000 1951 4 2
511000 1752 3 1.5
510000 1727 3 2
495000 1692 3 2
463000 1714 3 2
457000 1650 3 2
451000 1685 3 2
435000 1500 3 1.5
431700 1896 2 1.5
414000 1182 2 1.5
401500 1152 3 1
399000 1383 4 1
380000 1344 4 2
380000 1272 3 1
375900 2275 5 1
372000 1005 2 1
367500 1272 3 1
356500 1431 2 2
330000 1362 3 1
330000 1465 3 1
307500 850 1 1
a.

Estimate: Price = β0 +
β1 Sqft + β2 Beds +
β3 Baths + ε. (Round your
answers to 2 decimal places.)

  Question: A Realtor examines the factors that influence the price of ahouse in Arlington, Massachusetts. H... =  +  Sqft
+  Beds +  Baths

b-1.

Choose the appropriate hypotheses to test whether the
explanatory variables are jointly significant in explaining
price.

H0:
β1 = β2 =
β3 = 0; HA: At
least one βj < 0
H0:
β1 = β2 =
β3 = 0; HA: At
least one β j > 0
H0:
β1 = β2 =
β3 = 0; HA: At
least one β j ≠ 0

    

b-2.

Find the value of the appropriate test statistic. (Round
your answer to 4 decimal places.)

  Test statistic   

b-3.

At the 5% significance level, what is the conclusion to the
test? Are the explanatory variables jointly significant in
explaining Price?

Reject H0; the
explanatory variables are jointly significant in explaining
Price.
Reject H0; the
explanatory variables are not jointly significant in explaining
Price.
Do not reject
H0; the explanatory variables are jointly
significant in explaining Price.
Do not reject
H0; the explanatory variables are not jointly
significant in explaining Price.

c-1.

Choose the appropriate hypotheses to test whether each of the
explanatory variables are individually significant in explaining
Price.

H0: β
j = 0; HA:
β j > 0
H0: β
j = 0; HA:
β j < 0
H0: β
j = 0; HA:
β j ≠ 0

c-2.

At the 5% significance level, are all explanatory variables
individually significant in explaining Price?

  Explanatory Variables Significant
in
Explaining Price
  Sqft (Click to
select)YesNo     
  Beds (Click to
select)YesNo     
  Baths (Click to
select)YesNo     

  

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